Senior AI Engineer (Snowflake Cortex AI)

Description

We are looking for an experienced Senior AI Engineer to join the team and help define, build, test, and fine-tune AI agents that allow business users to ask natural-language questions about enterprise data. The solution is being developed primarily in Snowflake, but experience with other solutions would also be highly valuable. Responsibilities Define, configure, test, and continuously improve AI agents for analytical use cases Develop agent instructions, workflows, tools, guardrails, and evaluation criteria Build agents primarily within Snowflake, with AWS Bedrock experience considered an advantage Integrate agents with semantic models, governed data products, and business metrics Evaluate response accuracy, relevance, consistency, security, and business value Collaborate with technical teams and business stakeholders to translate requirements into reliable agent capabilities Establish documentation, testing standards, monitoring practices, and lifecycle management for agents Apply strong SQL, analytical thinking, and troubleshooting skills to daily work Requirements 5+ years of experience in data analytics, AI engineering, or related fields Practical experience with agent configuration and GenAI-assisted analytics, building analytical solutions that allow users to ask natural-language questions about enterprise data Proficiency in SQL and data analysis Hands-on experience with Snowflake, including Snowflake Cortex, Cortex Agents, and Cortex Analyst Understanding of Snowflake data, security, and access-control concepts Ability to understand semantic models, business metrics, and relationships between data entities Experience evaluating GenAI outputs and systematically identifying quality gaps Strong analytical and problem-solving skills, with attention to detail Understanding of agent observability, evaluation metrics, automated testing, and cost monitoring Ability to communicate technical concepts clearly to both technical and business audiences Proficiency in English at a B2+ level Nice to have Knowledge of AWS Bedrock Familiarity with Retrieval-Augmented Generation, embeddings, and vector search, and grounding techniques Experience with Python, APIs, and Git Snowflake or AWS certification

Requirements

• 5+ years of experience in data analytics, AI engineering, or related fields

• Practical experience with agent configuration and GenAI-assisted analytics, building analytical solutions that allow users to ask natural-language questions about enterprise data

• Proficiency in SQL and data analysis

• Hands-on experience with Snowflake, including Snowflake Cortex, Cortex Agents, and Cortex Analyst

• Understanding of Snowflake data, security, and access-control concepts

• Ability to understand semantic models, business metrics, and relationships between data entities

• Experience evaluating GenAI outputs and systematically identifying quality gaps

• Strong analytical and problem-solving skills, with attention to detail

• Understanding of agent observability, evaluation metrics, automated testing, and cost monitoring

• Ability to communicate technical concepts clearly to both technical and business audiences

• Proficiency in English at a B2+ level

Responsibilities

• Define, configure, test, and continuously improve AI agents for analytical use cases

• Develop agent instructions, workflows, tools, guardrails, and evaluation criteria

• Build agents primarily within Snowflake, with AWS Bedrock experience considered an advantage

• Integrate agents with semantic models, governed data products, and business metrics

• Evaluate response accuracy, relevance, consistency, security, and business value

• Collaborate with technical teams and business stakeholders to translate requirements into reliable agent capabilities

• Establish documentation, testing standards, monitoring practices, and lifecycle management for agents

• Apply strong SQL, analytical thinking, and troubleshooting skills to daily work

Seniority

• Senior

Nice to have

• Knowledge of AWS Bedrock

• Familiarity with Retrieval-Augmented Generation, embeddings, and vector search, and grounding techniques

• Experience with Python, APIs, and Git

• Snowflake or AWS certification